The future of work is arriving faster than many organizations realize. According to the World Economic Forum’s “Future of Jobs Report 2025,” nearly 60% of the workforce will need some form of retraining by 2030 to keep pace with the evolving demands of work. This shift places pressure on organizations to rethink how they approach talent development and internal mobility. AI is already playing a role here, but its potential in corporate learning and development (L&D) is only beginning to be tapped.
The dynamic between AI and training is two-fold. On one hand, AI will transform virtual instructor-led training (VILT), L&D and the way organizations build skills, without question. On the other hand, VILT will play a pivotal role in shaping how AI itself is adopted across the workforce. To fully realize AI’s potential, organizations must prepare their people to use it responsibly, strategically and with confidence. That’s where VILT becomes not just a delivery method for training, but a cornerstone in enabling workforce-wide AI readiness.
This cycle of mutual reinforcement enables continuous improvement in both the technology and the learning experience. VILT is the human scaffolding that enables AI adoption, while AI acts as an amplifier that enables VILT to scale more effectively.
How AI Makes Virtual Training More Adaptive
Despite the proliferation of online learning tools, most organizations still struggle to scale learning experiences that feel personal, engaging and effective, especially across distributed teams. This is a difficult problem to solve, but one where technology can play a pivotal role.
In conversations with L&D teams, there is a consistent theme: a desire for tools that help facilitators “read the room,” even when that room is entirely virtual. Teams want actionable insights into engagement, real-time understanding of who is participating meaningfully and early detection of learners who may be struggling. AI has the potential to meet these needs in ways that are more seamless and precise than before.
Imagine a virtual training session where AI assists the instructor by surfacing the right poll or quiz at exactly the right moment or flagging disengaged participants so facilitators can intervene before attention slips entirely. This kind of intelligent support takes training from a static event into an adaptive, responsive and measurable learning experience. Rather than replacing human insight, AI enhances it, helping trainers respond in real time and tailor learning to the needs of their audience. The benefits extend beyond individual sessions, allowing organizations the opportunity to embed AI into broader training strategies.
Laying the Foundation for Smarter Training
Of course, implementing AI in training and L&D is not without challenges. There’s a learning curve when it comes to building AI into workflows. It requires a careful balance of design, oversight and governance. Privacy, fairness and transparency must guide every decision, ensuring data is used responsibly. Without these guardrails, AI risks creating more problems than it solves. Thoughtful instructional design remains critical from day one; AI cannot replace a well-planned curriculum or a clear understanding of how learning supports the organization’s broader goals.
The organizations that succeed will treat AI as a long-term capability rather than a quick fix. When integrated thoughtfully, AI can help learning teams identify patterns over time, measure the effectiveness of different teaching strategies and continuously refine programs to maximize outcomes.
For organizations focused on internal mobility, this means creating training programs that better prepare employees for evolving roles, closing critical skills gaps and ensuring talent development is aligned with business objectives. They will experiment iteratively, learn from data insights and gradually embed AI into workflows in ways that complement human expertise.
Ultimately, the opportunity lies in giving L&D teams the support they need to move faster and do more. AI can help make learning experiences more adaptive, measurable and aligned with the real-time needs of the workforce. For employees, this means more personalized support, faster skill acquisition and better preparation for future roles.
Training the Workforce on AI
Just as Excel proficiency once became baseline, AI fluency will soon be non-negotiable across roles. Organizations looking to adopt AI across teams, whether in operations, customer experience or product development, need training programs that demystify AI tools, align them with business use cases and build employee confidence. VILT provides a scalable way to accelerate through the learning curve and reduces organizational resistance through human and social elements that enable sharing of successes, support questioning and encourage discussion.
With VILT, instructors can train on real-world AI scenarios, facilitate guided practice and address learner questions in real time. This approach reduces adoption friction, accelerates readiness and ensures employees are implementing AI in ways that are aligned with business expectations and that will make a measurable difference.
Building the Workforce of Tomorrow
As companies confront the pressing skills gaps, the organizations that lean in now will have a significant advantage. By building the right guardrails, embedding AI thoughtfully into training workflows and empowering teams to experiment responsibly, businesses can create learning programs that not only scale, but evolve with the workforce.
AI won’t replace thoughtful planning or skilled instructors, but it will supercharge the teams that use it well. The organizations that embrace this approach today will be the ones best positioned to develop adaptable, high-performing talent for the workforce of tomorrow.
